mirror of https://github.com/llvm/torch-mlir
20 lines
911 B
MLIR
20 lines
911 B
MLIR
// RUN: npcomp-opt <%s | npcomp-opt | FileCheck %s
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// CHECK-LABEL: func @binary_elementwise
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func @binary_elementwise(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>, %arg2: i32) {
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// CHECK: tcp.add %arg0, %arg1 : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
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// CHECK: tcp.max %arg0, %arg1 : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
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// CHECK: tcp.exp %arg0 : tensor<?xf32>
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%0 = tcp.add %arg0, %arg1 : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
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%1 = tcp.max %arg0, %arg1 : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
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%2 = tcp.exp %arg0 : tensor<?xf32>
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return
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}
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// CHECK-LABEL: func @matmul
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func @matmul(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
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// CHECK: tcp.matmul %arg0, %arg1 : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
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%0 = tcp.matmul %arg0, %arg1 : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
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return %0 : tensor<?x?xf32>
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}
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